Staff Software Engineer, AI Search

Databricks · Mountain View, California · Engineering · listed June 4, 2026

The shape of it

Seniority
Staff
Experience asked
10+ years
Where
Hybrid
Stated pay
$166,000 – $225,000 USD
Requirements listed
9
Length
825 words

In the posting’s own words

As a Staff Engineer for Search, you’ll play a critical role in building and scaling our next-generation Search product — spanning Vector Search, Keyword Search, and Search Quality. You’ll drive the design and evolution of a highly-performant, cost-efficient, and developer-friendly Search stack that enables customers to build AI applications with accuracy, speed, and scale. Beyond hands-on contributions, you’ll help define the long-term vision, mentor senior engineers, collaborate across teams, and lead strategic efforts that expand the technical and business impact of Search at Databricks.

What it asks for · 9

  • 10+ years of experience building and operating large-scale distributed systems.
  • Deep expertise in Search technologies (vector, keyword, hybrid) and related domains such as indexing, ranking, retrieval infrastructure, and relevance optimization.
  • Familiarity with storage systems, recommendation engines, and database internals.
  • Strong foundation in algorithms, data structures, and system design as applied to large-scale retrieval and data systems.
  • Proven ability to deliver technically complex, high-impact initiatives that create customer or business value.
  • Experience leading architecture for performance-sensitive, large-scale systems.
  • Strong communication skills and ability to collaborate across teams in fast-moving environments.
  • Strategic and product-oriented mindset with the ability to align technical execution with long-term vision.
  • Passion for mentoring, growing engineers, and fostering technical excellence.

What the job covers

  • Drive the architecture and evolution of the Search product, delivering scalable, low-latency, and high-quality retrieval across massive multimodal datasets.
  • Identify and solve challenges in indexing, storage, query execution, and ranking — blending innovations in vector search, keyword search, and hybrid retrieval techniques.
  • Partner with infrastructure, product, and research teams to shape APIs and developer experiences that make it easy to build production-grade, AI-powered and search-driven applications.
  • Lead end-to-end engineering efforts — from design to production rollout — ensuring high standards for performance, correctness, and reliability.
  • Make direct, high-impact contributions to core systems powering search, discovery, and recommendation experiences.
  • Champion software engineering excellence and mentor other engineers through design reviews, technical discussions, and collaborative development.
  • Contribute to long-term planning and influence Databricks’ technical direction in search, AI infrastructure, and data systems.

Tools and skills named

Data
  • Databricks3×
Cloud & infra
  • Distributed systems
Ways of working
  • Mentorship

Words the posting leans on

  • search16×
  • systems8×
  • data7×
  • retrieval6×
  • technical5×
  • customers4×
  • design4×
  • engineers4×
  • experience4×
  • infrastructure4×
  • vector4×
  • building3×
  • business3×
  • hybrid3×
  • large-scale3×
  • recommendation3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 25, 2026 and last changed by Databricks on August 18, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.